Job Type: Full-Time, 40 hours per week

Location: Kitchener, ON (Trillium / Homer Watson Industrial Park)

Department: Software & AI

Reports To: AI & Data Analytics Lead

About Mycionics

We are a strong, multidisciplinary mechatronics team where every member directly contributes to the product. We don’t just write code; we design, prototype, fabricate, and industrialize full robotic systems—spanning mechanical, electrical, firmware, software, AI/ML, and data analytics—and deploy them globally to customers across three continents.

The Role

We are seeking a versatile Data Analytics & Backend Engineer to build the backbone of our data ecosystem. While our robots harvest mushrooms, your role is to harvest the data—architecting how it is collected, stored, analyzed, and visualized.

This is a flexible, high-impact role. You will work directly with our AI Lead to manage our PostgreSQL databases, develop backend processing pipelines, and create the initial data visualization tools that allow our customers to see their farm's performance in real-time.

Key Responsibilities

• Database Management: Maintain and optimize our PostgreSQL database infrastructure, ensuring efficient data aggregation and retrieval.
• Backend Development: Build robust data processing pipelines to handle growth analytics, harvest statistics, and robot telemetry.
• Data Visualization: Develop front-end dashboards or visualization tools to present critical metrics (e.g., yield maps, harvest rates) to end-users.
• Analytics Strategy: Collaborate with the team to define what metrics are necessary for farm optimization and implement the logic to compute them.
• System Integration: Interface between the robot’s local data collection systems and our central database, ensuring seamless data flow.
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Technical Qualifications

• Education: Graduate degree in Computer Science, Data Science, or Engineering is preferred. Undergraduate degrees with strong, relevant experience will be considered.
• Experience: 1–2+ years of industry experience (backend/data focus) or a strong portfolio of relevant projects.
• Core Stack: Strong proficiency in Python (specifically Pandas for data manipulation).
• Database: Experience with SQL and PostgreSQL database management is required.
• Data Visualization: Experience building data dashboards or basic web front-ends to visualize complex datasets.

Job Type: Full-Time, 40 hours per week

Location: Kitchener, ON (Trillium / Homer Watson Industrial Park)

Department: Software & AI

Reports To: AI & Data Analytics Lead

About Mycionics

We are a strong, multidisciplinary mechatronics team where every member directly contributes to the product. We don’t just write code; we design, prototype, fabricate, and industrialize full robotic systems—spanning mechanical, electrical, firmware, software, AI/ML, and data analytics—and deploy them globally to customers across three continents.

The Role

We are seeking a versatile Data Analytics & Backend Engineer to build the backbone of our data ecosystem. While our robots harvest mushrooms, your role is to harvest the data—architecting how it is collected, stored, analyzed, and visualized.

This is a flexible, high-impact role. You will work directly with our AI Lead to manage our PostgreSQL databases, develop backend processing pipelines, and create the initial data visualization tools that allow our customers to see their farm's performance in real-time.

Key Responsibilities

• Database Management: Maintain and optimize our PostgreSQL database infrastructure, ensuring efficient data aggregation and retrieval.
• Backend Development: Build robust data processing pipelines to handle growth analytics, harvest statistics, and robot telemetry.
• Data Visualization: Develop front-end dashboards or visualization tools to present critical metrics (e.g., yield maps, harvest rates) to end-users.
• Analytics Strategy: Collaborate with the team to define what metrics are necessary for farm optimization and implement the logic to compute them.
• System Integration: Interface between the robot’s local data collection systems and our central database, ensuring seamless data flow.
• 
  

Technical Qualifications

• Education: Graduate degree in Computer Science, Data Science, or Engineering is preferred. Undergraduate degrees with strong, relevant experience will be considered.
• Experience: 1–2+ years of industry experience (backend/data focus) or a strong portfolio of relevant projects.
• Core Stack: Strong proficiency in Python (specifically Pandas for data manipulation).
• Database: Experience with SQL and PostgreSQL database management is required.
• Data Visualization: Experience building data dashboards or basic web front-ends to visualize complex datasets.